code: def forward(self, x):
      stage1 = self.stage1(x)
      stage2 = self.stage2(stage1)
      stage3 = self.stage3(stage2)
      stage4 = self.stage4(stage3)
      stage5 = self.stage5(stage4)
  
      return {
          "feat1": stage1,
          "feat2": stage2,
          "feat3": stage3,
          "feat4": stage4,
          "feat5": stage5,
      }
  
imports: import torch
  import torch.nn
  from torchvision.models._utils import IntermediateLayerGetter
  from torch.hub import load_state_dict_from_url
  from torchvision.models.resnet import BasicBlock
label_desc: Use image node_id 2 for calling the VGG obj's underlying member method code with example usage: obj.forward(x) and returns: dict